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在针对癌症细胞表面受体的双探针分子成像中,校正靶向和对照探针信号差异。

Correcting for targeted and control agent signal differences in paired-agent molecular imaging of cancer cell-surface receptors.

机构信息

Illinois Institute of Technology, Biomedical Engineering, Chicago, Illinois, United States.

Thayer School of Engineering, Dartmouth College, Hanover, New Hampshire, United States.

出版信息

J Biomed Opt. 2018 Jun;23(6):1-11. doi: 10.1117/1.JBO.23.6.066004.

Abstract

Paired-agent kinetic modeling protocols provide one means of estimating cancer cell-surface receptors with in vivo molecular imaging. The protocols employ the coadministration of a control imaging agent with one or more targeted imaging agent to account for the nonspecific uptake and retention of the targeted agent. These methods require the targeted and control agent data be converted to equivalent units of concentration, typically requiring specialized equipment and calibration, and/or complex algorithms that raise the barrier to adoption. This work evaluates a kinetic model capable of correcting for targeted and control agent signal differences. This approach was compared with an existing simplified paired-agent model (SPAM), and modified SPAM that accounts for signal differences by early time point normalization of targeted and control signals (SPAMPN). The scaling factor model (SPAMSF) outperformed both SPAM and SPAMPN in terms of accuracy and precision when the scale differences between targeted and imaging agent signals (α) were not equal to 1, and it matched the performance of SPAM for α  =  1. This model could have wide-reaching implications for quantitative cancer receptor imaging using any imaging modalities, or combinations of imaging modalities, capable of concurrent detection of at least two distinct imaging agents (e.g., SPECT, optical, and PET/MR).

摘要

配对剂动力学建模方案提供了一种利用体内分子成像来估计癌细胞表面受体的方法。这些方案采用控制成像剂与一个或多个靶向成像剂共同给药,以说明靶向剂的非特异性摄取和保留。这些方法需要将靶向和对照剂数据转换为浓度的等效单位,通常需要专门的设备和校准,以及/或者复杂的算法,从而增加了采用的难度。这项工作评估了一种能够纠正靶向和对照剂信号差异的动力学模型。该方法与现有的简化配对剂模型(SPAM)进行了比较,并对 SPAM 进行了修改,通过早期时间点对靶向和对照信号进行归一化来考虑信号差异(SPAMPN)。当靶向和成像剂信号之间的比例差异(α)不等于 1 时,比例因子模型(SPAMSF)在准确性和精密度方面均优于 SPAM 和 SPAMPN,并且对于 α = 1 时,它与 SPAM 的性能相匹配。对于使用任何能够同时检测至少两种不同成像剂(例如 SPECT、光学和 PET/MR)的成像方式或成像方式组合进行定量癌症受体成像,这种模型可能具有广泛的意义。

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